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N. Baban

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Open access Aug 2026

Mobility-Aware and Privacy-Preserving Federated Reinforcement Learning with Multi-Paradigm Machine Learning for Edge Intelligence in 5G/6G Networks

Mobility-Aware Federated Reinforcement Learning (MA-FRL) is introduced, a framework designed to bring mobility prediction, federated learning, and differential privacy together to make better offloading decisions across multi-tier edge environments.

N. Baban · Jurnal Engineering · 0 citations